Diagrammatic Representation and Inference 4th International Conferen
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Subseries of Lecture Notes in Computer Science
4045
Dave Barker-Plummer Richard Cox Nik Swoboda (Eds.)
Diagrammatic Representation and Inference 4th International Conference, Diagrams 2006 Stanford, CA, USA, June 28-30, 2006 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Dave Barker-Plummer Stanford University, CSLI Cordura Hall, Stanford, CA 94305-4101, USA E-mail: [email protected] Richard Cox University of Sussex, School of Science and Technology Department of Informatics, Falmer, Brighton BN1 9QH, UK E-mail: [email protected] Nik Swoboda Universidad Politécnica de Madrid, Departamento de Inteligencia Artificial Campus de Montegancedo, 28660 Boadilla del Monte, Madrid, Spain E-mail: [email protected].fi.upm.es
Library of Congress Control Number: 2006927703
CR Subject Classification (1998): I.2, D.1.7, G.2, H.5, J.4, J.5 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-35623-1 Springer Berlin Heidelberg New York 978-3-540-35623-3 Springer Berlin Heidelberg New York
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Preface
The Diagrams conference series is concerned with the study of all aspects of diagram use. While diagrammatic representations have been a corner-stone of communication throughout human history, modern media are much more graphical than those of the past. Recent advances in technologies for information presentation - on computers, PDAs and cell-phone screens - have immersed us in a reality that is richly pervaded by diagrammatic representations. The diagrams research community tends to define the term “diagram” very broadly. Those studied include familiar notations such as bar charts and line graphs, formally defined notations such as Venn diagrams and Peirce’s existential graphs, and complex representations such as the graphical user interfaces of most modern computer systems. Thus, the conference series attracts researchers from virtually all academic fields that are studying the nature of diagrammatic representations. These include disciplines that study human communication, human cognition, computational systems, HCI,
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